Call For Papers

2017 Big Data: The 5th International Workshop on Big Data

Scope: Big Data addresses the challenge to store, search, share, learn, visualize, and analyze massive datasets in forms of structured or unstructured data. The effective process, learn, and analysis of the Big Data has been evidenced for bringing us substantial commercial benefits for a variety of applications. The conventional methods are limited to provide desirable operations on effective Big Data analytics. The Big Data workshop 2017 (2017 BigData) is to promote the research works in this emerging area of Big Data-inspired computing, networks, systems, learning, and applications. 2017 BigData, held in conjunction with CyberC 2017, aims to provide an informative forum for R&D discussions and presentation of new ideas and research results on the broad topics of Big Data Research, Development, and Applications. It solicits high-quality papers that illustrate novel Big Data models, machine learning, architecture and infrastructure, management, search and processing, security and privacy, applications, surveys and industrial experiences. Authors of 2017 BigData are promoted to freely enjoy CyberC 2017 and Big Data Summit. Both of the events are co-sponsored and participated by several Big Data related industry companies.

Authors are cordially invited to submit original research papers in any aspects of Big Data with emphasis on but are not limited to the following topics: